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Applying the Nonadoption, Abandonment, Scale-Up, Spread, and Sustainability (NASSS) Framework to Adapt the CHAMP App for Pediatric Feeding Tube Weaning: Application and Case Report

Applying the Nonadoption, Abandonment, Scale-Up, Spread, and Sustainability (NASSS) Framework to Adapt the CHAMP App for Pediatric Feeding Tube Weaning: Application and Case Report

The CHAMP App was developed for data transfer with a pediatric cardiac population and provides families and the clinical team with a new model of care leveraged by a mobile app integrated with a software platform [17]. Data options include feeding intake, output, vital signs, weights, videos, and concerns (Figure 1).

Dana M Bakula, Alexandra Zax, Sarah Edwards, Kristina Nash, April Escobar, Rachel Graham, Amy Ricketts, Ryan Thompson, Sarah Bullard, Julianne Brogren, Leah Shimmens, Lori A Erickson

JMIR Form Res 2025;9:e67398

Development and Evaluation of a Patient–Family Caregiver Dyad mHealth Intervention for Heart Failure Self-Care: Quasi-Experimental Study

Development and Evaluation of a Patient–Family Caregiver Dyad mHealth Intervention for Heart Failure Self-Care: Quasi-Experimental Study

Unfortunately, a systematic review by Buck et al [8] found limited evidence supporting dyadic interventions for promoting HF self-care. The study found inconsistent HF self-care outcomes for dyadic interventions, with interventions that did not consider dyadic variables that may influence self-care, such as mutuality, limited to a few countries or not based on a theoretical framework [8].

Youn-Jung Son, JiYeon Choi, Hyue Mee Kim, Hoyoun Won, Jong-Chan Youn, Sang-Wook Kim, Wang-Soo Lee, Jun Hwan Cho, Kyung‑Taek Park, Joonhwa Hong, Da-Young Kim

J Med Internet Res 2025;27:e74922

Recent Advancements in Wearable Hydration-Monitoring Technologies: Scoping Review of Sensors, Trends, and Future Directions

Recent Advancements in Wearable Hydration-Monitoring Technologies: Scoping Review of Sensors, Trends, and Future Directions

The novelty lies in a parallel signal processing approach, deriving 3 physiological readings from a single bioimpedance feed, which streamlines the device. Initial testing on a single human participant demonstrated the potential for future integration into a smart telemonitoring health system. Agcayazi et al [41] designed a wearable bioimpedance analyzer for infant hydration monitoring.

Nazim A. Belabbaci, Raphael Anaadumba, Mohammad Arif Ul Alam

JMIR Mhealth Uhealth 2025;13:e60569

Temporal Dynamics of Subtle Cognitive Change: Validation of a User-Friendly Multidomain Digital Assessment Using an Alcohol Challenge

Temporal Dynamics of Subtle Cognitive Change: Validation of a User-Friendly Multidomain Digital Assessment Using an Alcohol Challenge

In this validation study, we explore the use of a battery of 4 tests expected to be informative for characterizing baseline performance and detecting change following intervention(s) in the context of neurodegeneration and psychiatry. The assessed domains include episodic memory, executive function, working memory, and psychomotor speed [28]. Specifically, the 4 tests are (1) a DSST; (2) a visual associative learning test; (3) a simple reaction time test; and (4) a visual N-back.

John Frederick Dyer, Florentine Marie Barbey, Ayan Ghoshal, Ann Marie Hake, Bryan J Hansen, Md Nurul Islam, Judith Jaeger, Rouba Kozak, Hugh Marston, Mark Moss, Viet Nguyen, Rebecca Louise Quinn, Leslie A Shinobu, Elizabeth Tunbridge, Brian Murphy, Niamh Kennedy

J Med Internet Res 2025;27:e55469

The Influence of Medical Culture and Key Factors on Mobile App Usage Frequency and Perceived Effectiveness in Physical Therapy: Cross-Sectional Study

The Influence of Medical Culture and Key Factors on Mobile App Usage Frequency and Perceived Effectiveness in Physical Therapy: Cross-Sectional Study

Conversely, a rigid or traditional medical culture can act as a barrier to the usage of new technologies and methods [4]. The role of medical culture extends beyond the attitudes of individual professionals, influencing how teams function and how institutions respond to emerging challenges in health care [5].

Khalid A Alahmari, Ravi Shankar Reddy

J Med Internet Res 2025;27:e68406

Comparison of Multimodal Deep Learning Approaches for Predicting Clinical Deterioration in Ward Patients: Observational Cohort Study

Comparison of Multimodal Deep Learning Approaches for Predicting Clinical Deterioration in Ward Patients: Observational Cohort Study

Overview of unstructured data processing for a single timestep. CUIs are extracted from clinical notes by c TAKES and assembled into a usable data structure that maps encounter ID to a list of CUIs associated with the timestep. A table of CUI-associated data is created, independent of patient data, containing preferred text, ICD codes, Sap BERT embedding, and cluster information.

Charles A Kotula, Jennie Martin, Kyle A Carey, Dana P Edelson, Dmitriy Dligach, Anoop Mayampurath, Majid Afshar, Matthew M Churpek

J Med Internet Res 2025;27:e75340

Relationship of Hair Cortisol Concentration With Perceived and Somatic Stress Indices: Cross-Sectional Pilot Study

Relationship of Hair Cortisol Concentration With Perceived and Somatic Stress Indices: Cross-Sectional Pilot Study

Since cortisol is incorporated into growing hair, hair is emerging as a novel matrix for measuring retrospective cortisol secretion over months [9,11,12]. Each 1 cm hair segment, beginning from the proximal end, approximates a month’s cortisol production.

Sharon H Bergquist, Danyang Wang, Brad Pearce, Alicia K Smith, Allison Hankus, David L Roberts, Miranda A Moore

JMIR Form Res 2025;9:e63811

Effectiveness of Walking Prescription Using Mobile Health Technology on the Changes in Daily Steps in Older Adults With Cognitive Impairment: Randomized Controlled Study

Effectiveness of Walking Prescription Using Mobile Health Technology on the Changes in Daily Steps in Older Adults With Cognitive Impairment: Randomized Controlled Study

However, many studies on PA programs using m Health technology have mainly been conducted on young people [19-22]. Although it has also been suggested that PA can be increased in the older population using m Health technology [23], most studies have been conducted on older adults with physical diseases such as cardiovascular disease, diabetes, and obesity without cognitive dysfunction [23-25].

Hee Jung Kim, Yun Jung Hwang, Jee Eun Park, Dong Young Lee

JMIR Aging 2025;8:e63081

Implications of Data Extraction and Processing of Electronic Health Records for Epidemiological Research: Observational Study

Implications of Data Extraction and Processing of Electronic Health Records for Epidemiological Research: Observational Study

Nivel-PCD: All insurance claims codes as recorded by the GP are received, however, when a dataset has been requested by the researcher, the codes are filtered by the data processor to include a selection of codes relevant to the study (in agreement with the researchers), on a database zone level. Contacts Defined as moments of contact between a GP and a patient. Based on unique dates on which an insurance claim code was recorded by the GP, that is, the maximum number of contacts per patient per day is 1.

Melissa H J van Essen, Robin Twickler, Yvette M Weesie, Ilgin G Arslan, Feikje Groenhof, Lilian L Peters, Isabelle Bos, Robert A Verheij

J Med Internet Res 2025;27:e64628

Feasibility and Usability of a Web-Based Peer Support Network for Care Partners of People With Serious Illness (ConnectShareCare): Observational Study

Feasibility and Usability of a Web-Based Peer Support Network for Care Partners of People With Serious Illness (ConnectShareCare): Observational Study

Addressing care partner needs is a pressing health, economic, and social imperative. There is a growing literature on web-based peer support networks for care partners of people with serious illness, and such networks typically contain a platform to exchange information and provide peer support [5].

Aricca D Van Citters, Megan M Holthoff, Colleen Young, Sarah M Eck, Amelia M Cullinan, Stephanie Carney, Elizabeth A O'Donnell, Joel R King, Malavika Govindan, David Gustafson, Stephanie C Tomlin, Anne B Holmes, Ann D Bradley, Brant J Oliver, Matthew M Wilson, Eugene C Nelson, Amber E Barnato, Kathryn B Kirkland

JMIR Form Res 2025;9:e70206